Gemini vs GPT vs Claude vs Kimi: One Prompt, Four 3D Landing Pages

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One Prompt, Four AI Coding Agents: What Changed in the Final Design?

I recently ran a practical experiment using Gemini 3.6 Flash, GPT-5.6 Sol, Claude Opus 5, and Kimi K3.

Each agent received the same main task: build a modern interactive 3D landing page for a fictional AI platform called NEXORA using HTML, CSS, Vanilla JavaScript, and Three.js. No design file, UI kit, or additional skill file was provided.

What made the experiment interesting was that the same prompt produced four noticeably different design directions.

Gemini focused on technical depth and product detail. GPT emphasized typography and brand personality. Claude produced a balanced and professional SaaS-style layout, while Kimi focused on clarity and straightforward structure.

This comparison is not intended to be a strict benchmark. The models, effort settings, and execution environments were not identical. Instead, the goal was to observe how different AI coding agents interpret the same requirements and make their own design decisions.

The article includes full-page results, strengths and limitations of each approach, and a Live Demo for every agent.

Read the full comparison: